Job Overview
Location
Turkey
Job Type
Part-time
Category
Software Engineering
Date Posted
June 21, 2026
Full Job Description
📋 Description
- • Design advanced, deterministic physics problems for training and evaluation of frontier AI models, ensuring each problem has exactly one verifiable correct answer.
- • Develop comprehensive, verified solutions for all problems, clearly documenting the complete reasoning process from first principles to final answer.
- • Create problems that test deep physical reasoning, multi-step analysis, and conceptual understanding—avoiding reliance on memorization or rote application of formulas.
- • Use Python and scientific libraries (e.g., numpy, scipy) to build computational models, simulations, or workflows where relevant to generate or validate problem outputs.
- • Ensure all problem statements, solutions, and documentation are technically precise, reproducible, and written in clear, professional English.
- • Contribute to high-quality STEM training datasets used directly in AI training and evaluation pipelines at leading AI research labs.
- • Collaborate remotely to deliver problems and solutions on schedule within a 2-month project window, with potential for extension based on performance.
- • Maintain rigorous standards for technical accuracy, logical consistency, and clarity in all deliverables to meet the demands of cutting-edge AI model development.
- • Apply expertise in theoretical, experimental, or computational physics to design problems that reflect authentic research and engineering workflows.
- • Identify and incorporate real-world physics scenarios that challenge state-of-the-art AI systems in areas such as mechanics, electromagnetism, thermodynamics, or quantum phenomena.
- • Validate all computational outputs through independent verification to guarantee correctness and eliminate ambiguity in problem solutions.
- • Document assumptions, approximations, and numerical methods used in simulations to ensure transparency and reproducibility for AI training purposes.
- • Adapt problem complexity to target specific reasoning gaps in AI models, balancing difficulty with solvability under defined constraints.
- • Work independently with minimal supervision while adhering to strict quality control standards for technical content.
- • Deliver all materials in structured formats suitable for integration into AI training datasets and evaluation benchmarks.
🎯 Requirements
- • Master’s or PhD in Physics or a closely related field
- • Strong research or industry experience in theoretical, experimental, or computational physics
- • Proficient in Python with experience using scientific libraries such as numpy or scipy
- • Solid understanding of modeling, simulation, numerical methods, and multi-step problem solving
- • Ability to design original, challenging physics problems that test deep reasoning, not memorization
- • Excellent technical writing skills in English
🏖️ Benefits
- • Compensation up to 40 USD per hour
- • Contract/part-time arrangement with flexibility between 20 to 40 hours per week
- • Remote work with no location constraints within Turkey
- • 2-month project duration with potential for extension based on performance
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Anyone AI Inc.
Anyone AI provides no-code computer-vision infrastructure that lets companies build, train and deploy image and video models without machine-learning teams. Its cloud platform automates data labeling, model optimization and edge deployment for retail, manufacturing, logistics and healthcare use cases. The company offers pre-trained APIs for object detection, counting and anomaly identification, plus dashboards for continuous monitoring and compliance. Founded in 2021, it targets enterprises seeking rapid AI adoption while avoiding costly specialists and infrastructure setup.
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